Embedded Hyper-Spectral Image Compression System Based on Bit-plane

YIN Chuan-li; LI Jia-quan

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Embedded Hyper-Spectral Image Compression System Based on Bit-plane

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- Embedded Hyper-Spectral Image Compression System Based on Bit-plane
- Chinese Journal of Liquid Crystals and Displays Vol. 27, Issue 2, Pages: 245-249(2012)
- 作者机构：
  
  中国科学院长春光学精密机械与物理研究所中国科学院航空光学成像与测量重点实验室,吉林长春,130033
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Received：22 September 2011，
  
  Revised：24 November 2011，
  
  Published Online：15 April 2012，
  
  Published：15 April 2012
- 稿件说明：
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尹传历, 李嘉全. 基于位平面的嵌入式超光谱图像压缩系统[J]. 液晶与显示, 2012,(2): 245-249

YIN Chuan-li, LI Jia-quan. Embedded Hyper-Spectral Image Compression System Based on Bit-plane[J]. , 2012,(2): 245-249
尹传历, 李嘉全. 基于位平面的嵌入式超光谱图像压缩系统[J]. 液晶与显示, 2012,(2): 245-249 DOI：

YIN Chuan-li, LI Jia-quan. Embedded Hyper-Spectral Image Compression System Based on Bit-plane[J]. , 2012,(2): 245-249 DOI：

摘要

针对超光谱图像压缩系统实时性差的缺点

提出一种基于位平面的嵌入式超光谱图像压缩系统。对高位位平面首先采用DPCM去相关

然后再进行游程编码

对低位位平面首先采用四叉数分割

然后再进行LZW编码

最后混合码流进行数据输出。结合实际应用

以高性能DSP芯片TMS320C6455作为中央处理器

结合现场可编程门阵列FPGA构成外围电路逻辑控制

搭建了嵌入式高速图像压缩处理平台。基于该平台用真实图像验证了文中提出的算法

实验结果表明

该系统在保持较高重建精度的同时

有效降低了算法运行量

减少了算法运行时间

能够满足工程项目的要求。

Abstract

According to the disadvantage of poor real-time of hyper-spectral image compression system

a new hyper-spectral image compression system based on bit-plane is presented. For the high-bit-plane

first DPCM to relevant is used

then the run-length encoding is done. For the low-bit-plane

the Quad-split algorithm is adapted

then the LZW encoding is done. Finally the mixed steam is given. An embedded high speed image compression processing system on high performance DSP TMS320C6455 and FPGA was designed. Experimental results with real images shows that the reconstruction of the system maintains a high accuracy

and the system can reduce the amount of running the algorithm

the running time of the program is shorter

so it can meet the requirements in the project.

关键词

Keywords

references

薛莉.基于预测技术的高光谱图像压缩算法研究.哈尔滨:哈尔滨工业大学,2006.[2] 张雷.基于超光谱遥感图像三维特征的压缩方法研究. 长春:中科院长春光机所,2008.[3] 黄菁.高光谱图像编码研究.南京:南京理工大学,2008.[4] 尹传历,张葆,戴明,等. 嵌入式雾天降质图像对比度增强系统的设计与实现 [J]. 电视技术, 2009, 33(12): 90-92.[5] 尹传历,刘冬梅,宋建中. 一种嵌入式实时跟踪系统的设计与实现 [J]. 电视技术, 2008. 32(1):85-87.[6] 张威.无人机载光谱仪超光谱图像压缩技术研究. 长春:中科院长春光机所,2010.[7] 王春胜,禹秉熙,戴逸松,等.高光谱图像数据变换编码压缩方法 [J]. 遥感学报, 2000,4(2):95-99.[8] Tsai M J, Villaseno J D, Chen F. Stack-run image coding [J]. IEEE Trans Circuits Syst. Video Technol.,1996,6(5):519-521.[9] 尹传历. 基于双目立体视觉的三维测量技术研究. 长春:中科院长春光机所,2008.

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